Keywords:
- acoustic modeling
- Adaboost
- Alzheimer's disease
- Anti-spoofing
- articulatory features
- Artificial Neural Networks
- atypical speech
- Automatic accent assessment
- Automatic accent evaluation
- automatic gender recognition
- Automatic speaker verification (ASV)
- Automatic Speech Recognition
- automatic subword unit derivation
- bag of audio words
- Binary features
- binary masking
- BoAW
- boosting
- breathing pattern estimation
- breathing patterns
- Children speech recognition
- Classification
- CNN visualization
- ComParE features
- computational efficiency
- Conditional Random Fields
- confidence measures
- continuous speech recognition boosted binary features resource management
- Convolution Neural Network
- Convolutional neural network
- Convolutional Neural Networks
- COVID-19 identification
- cross-database
- deep learning
- deep neural networks
- depression detection
- Direction of arrival estimation
- dynamic programming
- Dysarthria
- Dysarthric speech
- embedding
- Emotion Recognition
- end-to-end acoustic modeling
- End-to-end learning
- end-to-end modelling
- end-to-end training
- expected performance and spoofability curve
- Expressive Vocalizations
- feature selection
- Few-shot learning
- fine-tuning
- fixed-size word patterns
- Formant identification
- Formants
- Fundamental frequency
- Fusion
- Gaussian mixture
- glottal source signals.
- grapheme
- Grapheme subword units
- grapheme subwords
- grapheme-to- phoneme conversion
- grapheme-to-phoneme conversion
- grapheme-to-phoneme converter
- Graphemes
- Hidden Markov Model
- hidden Markov models
- human skeleton estimation
- integration of ASV and anti-spoofing
- Inter-pretable Models
- isolated word recognition
- Kalman filters
- KL-divergence
- KL-HMM
- Kullback-Leibler divergence
- Kullback-Leibler divergence based hidden Markov model
- Kullback-Leibler divergence based HMM
- Kullback–Leibler divergence based hidden Markov model
- language disorder
- Language Production
- letter-to-sound rules
- lexical model
- Lexical modeling
- Lexicon
- local posterior probability
- localization
- long-term statistics
- low level descriptors
- Mental Lexicon
- microphone array
- microphone arrays
- mobile biometrics
- modalities fusion
- modified ZFF
- multi- layer perceptron
- Multi-modal Approach
- multi-stream combination
- Multi-task learning
- multilayer perceptron
- multilayer perceptron network
- multilingual acoustic modeling
- multiple linear regression
- Multiple speaker localization
- multiple speakers
- multiple-stream combination
- multitask learning
- neural network
- Noise Robustness
- non-native speech
- non-native speech recognition
- Objective Evaluation
- Objective intelligibility
- Objective intelligibility Assessment
- objective measures
- overlapping speech recognition
- Paralinguistic speech processing
- Parkinson's disease
- parts-based approach
- Pathological speech
- Pathological Speech Processing
- Perceived fluency
- phoneme
- phoneme modeling
- Phoneme recognition
- phoneme subword units
- phoneme subwords
- phonemes
- Phonetic information
- phonetic representation
- Phonocardiogram
- Posterior features
- posterior probabilities
- pre-trained embedding
- presentation attack
- Presentation Attack Detection
- probabilistic lexical modeling
- pronunciation generation
- pronunciation lexicon
- Raw Speech
- raw waveform modelling
- raw waveforms
- raw-waveform cnn
- Reading Assessment
- recognition
- recurrent neural network
- Respiratory parameters
- S1-S2 detection
- Scottish Gaelic
- segment-level training.
- Self-Organizing Maps
- Self-supervised embedding
- self-supervised learning
- sign language assessment
- Sign language processing
- signal processing
- sleepiness
- speaker verification
- speaker-specific features
- spectral statistics
- Speech Analysis
- speech assessment
- Speech breathing
- Speech Emotion Recognition
- Speech enhancement
- Speech intelligibility
- speech recognition
- speech recognition.
- speech separation
- speech synthesis
- Speech technology
- Spoofing
- spoofing detection
- Steered response power
- String matching
- SVM
- syllable-level-features
- synthetic reference templates.
- Synthetic speech
- TANDEM features
- template-based approach
- template-based system
- Text classification
- text-to-speech synthesis
- tracking
- under-resource speech recognition
- under-resourced languages
- universal phoneme set
- unsupervised adaptation
- utterance verification
- voice activity detection
- Voice Conversion
- zero frequency filter
- Zero frequency filtering
- zero-frequency filtering
- zero-resourced speech recognition
Publications of Mathew Magimai.-Doss sorted by first author
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| Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, , and , Idiap-RR-15-2017 |
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| Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework, , and , in: Speech Communication, 80, 2016 |
[DOI] |
| On the Application of Automatic Subword Unit Derivation and Pronunciation Generation for Under-Resourced Language ASR: A Study on Scottish Gaelic, , and , Idiap-RR-13-2015 |
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| Acoustic Data-Driven Grapheme-to-Phoneme Conversion in the Probabilistic Lexical Modeling Framework, , and , Idiap-RR-10-2015 |
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| Towards Multiple Pronunciation Generation in Acoustic G2P Conversion Framework, , and , Idiap-RR-34-2015 |
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| Pronunciation Lexicon Development for Under-Resourced Languages Using Automatically Derived Subword Units: A Case Study on Scottish Gaelic, , and , in: 4th Biennial Workshop on Less-Resourced Languages, 2015 |
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| On Modeling Context-Dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, , and , in: International Conference on Acoustics, Speech, and Signal Processing, Florence, IT, pages 7659 - 7663, IEEE, 2014 |
[DOI] |
| On Modeling Context-dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, , and , Idiap-RR-43-2013 |
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| A Fast Parts-based Approach to Speaker Verification using Boosted Slice Classifiers, , and , in: IEEE Transactions on Information Forensics and Security, 7(1):241-254, 2012 |
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| Boosting localized binary features for speech recognition, , and , in: Symposium on Machine Learning in Speech and Language Processing (MLSLP), 2012 |
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| Phoneme Recognition using Boosted Binary Features, , and , in: IEEE Intl. Conference on Acoustics, Speech and Signal Processing 2011, 2011 |
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| Fast Speaker Verification on Mobile Phone data using Boosted Slice Classifiers, , and , in: IAPR IEEE International Joint Conference on Biometrics, Washington DC, 2011 |
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| Continuous Speech Recognition using Boosted Binary Features, , and , Idiap-RR-35-2011 |
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| BOOSTED BINARY FEATURES FOR NOISE-ROBUST SPEAKER VERIFICATION, , and , in: 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, Texas, 2010 |
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S
| Domain Adaptation and Investigation of Robustness of DNN-based Embeddings for Text-Independent Speaker Verification Using Dilated Residual Networks, , and , Idiap-RR-10-2019 |
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| Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?, and , in: Proceedings of Interspeech, 2023 |
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| Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering, , and , in: Proceedings of Interspeech, 2022 |
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| Modeling Source and System characteristics using Zero Frequency Filtering for Voice Activity Detection, , and , Idiap-Internal-RR-80-2021 |
| Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech, , , , , and , in: Proceedings of Interspeech 2018, Hyderabad, INDIA, pages 292-296, 2018 |
[DOI] |
| Signal-to-signal neural networks for improved spike estimation from calcium imaging data, , , and , in: PLoS Computational Biology, 17(3):1--19, 2021 |
[DOI] |
| Integrating Posterior Features and Self-Organizing Maps for Isolated Word Recognition without Dynamic Programming, and , Idiap-RR-17-2012 |
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| Synthetic References for Template-based ASR using Posterior Features, , and , in: Proceedings of Interspeech, Portland, Oregon, USA, 2012 |
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| Template-based ASR using Posterior features and synthetic references: comparing different TTS systems, , and , in: SAPA-SCALE Conference, International Speech Communication Association, 2012 |
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| Posterior Features for Template-based ASR, , , and , in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Prague, Czech Republic, 2011 |
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| On MLP-based Posterior Features for Template-based ASR, , , and , Idiap-RR-37-2009 |
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| Dynamic Bayesian Network Based Speech Recognition with Pitch and Energy as Auxiliary Variables, , , and , in: 2002 IEEE International Workshop on Neural Networks for for Signal Processing (NNSP~2002), 2002 |
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| Dynamic Bayesian Network Based Speech Recognition with Pitch and Energy as Auxiliary Variables, , , and , Idiap-RR-24-2002 |
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| Speech recognition with auxiliary information, , and , in: IEEE Trans. on Speech and Audio Processing, 4, 2004 |
| Speech recognition of spontaneous, noisy speech using auxiliary information in Bayesian networks, , and , in: Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-03), 2003 |
| Auxiliary Variables in Conditional Gaussian Mixtures for Automatic Speech Recognition, , and , in: Seventh International Conference on Spoken Language Processing (ICSLP~2002), 2002 |
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| Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition, , and , in: International Conference on Pattern Recognition (ICPR~2002), 2002 |
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| Speech recognition with auxiliary information, , and , Idiap-RR-58-2002 |
| Speech recognition of spontaneous, noisy speech using auxiliary information in Bayesian networks, , and , Idiap-RR-44-2002 |
| Auxiliary Variables in Conditional Gaussian Mixtures for Automatic Speech Recognition, , and , Idiap-RR-25-2002 |
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| Modeling Auxiliary Information in Bayesian Network Based ASR, , and , in: 7th European Conference on Speech Communication and Technology (Eurospeech~2001), 2001 |
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| Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition, , and , Idiap-RR-45-2001 |
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| Modeling Auxiliary Information in Bayesian Network Based ASR, , and , Idiap-RR-11-2001 |
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| Automatic Speech Recognition using Pitch Information in Dynamic Bayesian Networks, , and , Idiap-RR-41-2000 |
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